White Tom, Westgate Kate, Wareham Nicholas J, Brage Soren
MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
PLoS One. 2016 Dec 9;11(12):e0167472. doi: 10.1371/journal.pone.0167472. eCollection 2016.
Wrist-worn accelerometers are emerging as the most common instrument for measuring physical activity in large-scale epidemiological studies, though little is known about the relationship between wrist acceleration and physical activity energy expenditure (PAEE).
1695 UK adults wore two devices simultaneously for six days; a combined sensor and a wrist accelerometer. The combined sensor measured heart rate and trunk acceleration, which was combined with a treadmill test to yield a signal of individually-calibrated PAEE. Multi-level regression models were used to characterise the relationship between the two time-series, and their estimations were evaluated in an independent holdout sample. Finally, the relationship between PAEE and BMI was described separately for each source of PAEE estimate (wrist acceleration models and combined-sensing).
Wrist acceleration explained 44-47% between-individual variance in PAEE, with RMSE between 34-39 J•min-1•kg-1. Estimations agreed well with PAEE in cross-validation (mean bias [95% limits of agreement]: 0.07 [-70.6:70.7]) but overestimated in women by 3% and underestimated in men by 4%. Estimation error was inversely related to age (-2.3 J•min-1•kg-1 per 10y) and BMI (-0.3 J•min-1•kg-1 per kg/m2). Associations with BMI were similar for all PAEE estimates (approximately -0.08 kg/m2 per J•min-1•kg-1).
A strong relationship exists between wrist acceleration and PAEE in free-living adults, such that irrespective of the objective method of PAEE assessment, a strong inverse association between PAEE and BMI was observed.
腕部佩戴的加速度计正成为大规模流行病学研究中测量身体活动最常用的工具,然而对于腕部加速度与身体活动能量消耗(PAEE)之间的关系却知之甚少。
1695名英国成年人同时佩戴两种设备,为期六天;一种是组合传感器,另一种是腕部加速度计。组合传感器测量心率和躯干加速度,将其与跑步机测试相结合,得出个体校准的PAEE信号。使用多级回归模型来描述两个时间序列之间的关系,并在独立的保留样本中评估其估计值。最后,针对PAEE估计的每个来源(腕部加速度模型和组合传感)分别描述PAEE与BMI之间的关系。
腕部加速度解释了PAEE中44%-47%的个体间差异,均方根误差在34-39 J•min-1•kg-1之间。在交叉验证中,估计值与PAEE吻合良好(平均偏差[95%一致性界限]:0.07 [-70.6:70.7]),但在女性中高估了3%,在男性中低估了4%。估计误差与年龄呈负相关(每10岁-2.3 J•min-1•kg-1),与BMI呈负相关(每kg/m2 -0.3 J•min-1•kg-1)。所有PAEE估计值与BMI的关联相似(约为每J•min-1•kg-1 -0.08 kg/m2)。
在自由生活的成年人中,腕部加速度与PAEE之间存在很强的关系,因此无论PAEE评估的客观方法如何,都观察到PAEE与BMI之间存在很强的负相关。